Feedback Inhibition Underlies New Computational Functions of Cerebellar Interneurons
The function of a feedback inhibitory circuit between cerebellar Purkinje cells and molecular layer interneurons (MLIs) was defined by combining optogenetics, neuronal activity recordings both in cerebellar slices and in vivo, and computational modeling. Purkinje cells inhibit a subset of MLIs in th...
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03.03.2022
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| Abstract | The function of a feedback inhibitory circuit between cerebellar Purkinje cells and molecular layer interneurons (MLIs) was defined by combining optogenetics, neuronal activity recordings both in cerebellar slices and in vivo, and computational modeling. Purkinje cells inhibit a subset of MLIs in the inner third of the molecular layer. This inhibition is non-reciprocal, short-range (less than 200 μm) and is based on convergence of 1-2 Purkinje cells onto MLIs. During learning-related eyelid movements in vivo, the activity of a subset of MLIs progressively increases at the same time that Purkinje cell activity decreases, with Purkinje cells usually leading the MLIs. Computer simulations indicate that these relationships are best explained by the feedback circuit from Purkinje cells to MLIs and that this feedback circuit plays a central role in making cerebellar learning efficient. |
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| AbstractList | The function of a feedback inhibitory circuit between cerebellar Purkinje cells and molecular layer interneurons (MLIs) was defined by combining optogenetics, neuronal activity recordings both in cerebellar slices and in vivo, and computational modeling. Purkinje cells inhibit a subset of MLIs in the inner third of the molecular layer. This inhibition is non-reciprocal, short-range (less than 200 μm) and is based on convergence of 1-2 Purkinje cells onto MLIs. During learning-related eyelid movements in vivo, the activity of a subset of MLIs progressively increases at the same time that Purkinje cell activity decreases, with Purkinje cells usually leading the MLIs. Computer simulations indicate that these relationships are best explained by the feedback circuit from Purkinje cells to MLIs and that this feedback circuit plays a central role in making cerebellar learning efficient. |
| Author | Kim, Jinsook Augustine, George J. Khilkevich, Andrei Halverson, Hunter E. Mauk, Michael D. |
| Author_xml | – sequence: 1 givenname: Hunter E. surname: Halverson fullname: Halverson, Hunter E. organization: Center for Learning and Memory, The University of Texas at Austin – sequence: 2 givenname: Jinsook orcidid: 0000-0001-6487-6608 surname: Kim fullname: Kim, Jinsook organization: Institute of Molecular and Cell Biology – sequence: 3 givenname: Andrei surname: Khilkevich fullname: Khilkevich, Andrei organization: Center for Learning and Memory, The University of Texas at Austin – sequence: 4 givenname: Michael D. surname: Mauk fullname: Mauk, Michael D. organization: Department of Neuroscience, The University of Texas at Austin – sequence: 5 givenname: George J. orcidid: 0000-0001-7408-7485 surname: Augustine fullname: Augustine, George J. email: George.Augustine@ntu.edu.sg organization: Institute of Molecular and Cell Biology |
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| DOI | 10.1101/2022.03.03.482855 |
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| Notes | Competing Interest Statement: The authors have declared no competing interest. |
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| Title | Feedback Inhibition Underlies New Computational Functions of Cerebellar Interneurons |
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